Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI
Abstract
Abstract As a cardinal marker of brain ageing, lifetime brain atrophy obtained from a cross-sectional magnetic resonance image promises to boost statistical power to uncover novel genetic mechanisms of neurodegeneration. By analysing five young and old adult cohorts, we perform the most definitive study on lifetime brain atrophy’s measurement and correlates. It is simply calculated from the relationship between total brain volume and intracranial volume, using the difference, ratio, or regression-residual method. Lifetime brain atrophy is correlated with well-validated neuroradiological atrophy ratings ( r = 0.37–0.44), cognitive decline ( r = 0.36), frailty ( r = 0.24), and longitudinally-measured atrophic changes ( r = 0.36). Lifetime brain atrophy computed with the difference method yields phenotypic and genetic signal similar to baseline intracranial volume ( r g = 0.75), in contrast to the residual method, which also best captures brain shrinkage. Lifetime brain atrophy is highly heritable ( h 2 SNP = 41%[95%CI = 38–43%]), and the strongest genome-wide association ( N = 43,110) implicates WNT16 , a gene linked with neurodegenerative diseases.
Article Details
Authors (24)
Anna E. Fürtjes
Isabelle F. Foote
Charley Xia
Gail Davies
Joanna Moodie
Adele Taylor
David C. Liewald
Paul Redmond
Janie Corley
Andrew M. McIntosh
Heather C. Whalley
Susana Muñoz Maniega
Maria Valdés Hernández
Ellen Backhouse
Karen Ferguson
Mark E. Bastin
Joanna Wardlaw
Javier de la Fuente
Andrew D. Grotzinger
Michelle Luciano
W. David Hill
Ian J. Deary
Elliot M. Tucker-Drob
Simon R. Cox